Temporal fuzziness in communications systems

S. Kartalopoulos
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引用次数: 2

Abstract

Communication systems are real-time deterministic, well defined systems that transport voice/data signals from point A to point B reliably. However, the transmitted signal is subject to significant distortion by the very harsh environment, the medium, and the system itself. Despite this, data reaches its destination crisply or error-free. To achieve the high quality of error-free data, mechanisms that affect the quality of signal are addressed a priori and countermeasures are developed so that the potentially "fuzzifiers" are removed or "de-fuzzified". Here, the fuzzification-defuzzification process of the signal in real-time communication systems is addressed in the context of temporal fuzziness or fuzziness in the time domain. Temporal fuzzy factors that affect the operation of communication systems and their signal transmission are illustrated, analyzed, and the de-fuzzification process is discussed.<>
通信系统中的时间模糊性
通信系统是实时确定的,定义良好的系统,可以可靠地将语音/数据信号从A点传输到B点。然而,由于恶劣的环境、介质和系统本身,传输的信号会受到明显的失真。尽管如此,数据还是能清晰无误地到达目的地。为了实现无差错数据的高质量,影响信号质量的机制被先验地处理,并制定对策,以便潜在的“模糊化”被移除或“去模糊化”。在这里,实时通信系统中信号的模糊化-去模糊化过程是在时间模糊或时域模糊的背景下处理的。对影响通信系统运行和信号传输的时间模糊因素进行了说明和分析,并讨论了去模糊化过程
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